Instructions to use amphora/KorFinASC-mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/KorFinASC-mT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/KorFinASC-mT5") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/KorFinASC-mT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amphora/KorFinASC-mT5: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/amphora/KorFinASC-mT5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://amphora/KorFinASC-mT5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amphora/KorFinASC-mT5/resolve/main/pytorch_model.bin
4.92 GB
- Xet hash:
- 6d4c97065339144aef7c36a2474336e5c047b251e57e047234ea61ae34a47675
- Size of remote file:
- 4.92 GB
- SHA256:
- df93b9a6c033f1512f0d7988837a3bd877f0183fe5f727b54d1fbc3839d9ffdf
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